Smart heart tracker

Abstract

A smart heart tracker is described. The smart heart tracker includes a 3-axis accelerometer that measures and stores position and acceleration information for the smart heart tracker and an optical biosensor that measures the heart rate. The smart heart tracker also includes a memory that stores instructions and a processor that executes the instructions to receive the stored position and acceleration information from the 3-axis accelerometer, determine one or more physical activities corresponding to the stored position and acceleration information, and store the determined one or more physical activities.

What is claimed is: 
     
         1 . A smart heart tracker shaped and dimensioned to be worn as a piece of jewelry comprising:
 a 3-axis accelerometer configured to measure and store position and acceleration information for the smart heart tracker;   an optical biosensor configured to measure heart rate;   a memory configured to store instructions; and   a processor communicatively connected to the 3-axis accelerometer and the memory, the processor configured to execute the instructions at least to:
 receive the stored position and acceleration information from the 3-axis accelerometer; 
 determine one or more physical activities corresponding to the stored position and acceleration information; and 
 store the determined one or more physical activities. 
   
     
     
         2 . The smart heart tracker according to  claim 1 , further comprising a power source configured to provide power to the smart heart tracker. 
     
     
         3 . The smart heart tracker according to  claim 1 , further comprising a semiconductor crystal configured to provide a clock signal,
 wherein the clock signal is used to determine a frequency for measuring and storing the position and acceleration information using the 3-axis accelerometer.   
     
     
         4 . The smart heart tracker according to  claim 1 , further comprising a transceiver configured to connect the smart heat tracker to an external device for data communication. 
     
     
         5 . The smart heart tracker according to  claim 1 , wherein the optical bionsensor obtains a photoplethysmography (PPG) signal. 
     
     
         6 . The smart heart tracker according to  claim 5 , wherein the processor is configured to execute the instructions to use the obtained PPG signal in an optical heart rate monitoring (oHRM) algorithm for the measurement of at least one of cardiovascular activity or sleep patterns. 
     
     
         7 . The smart heart tracker according to  claim 5 , wherein the processor is configured to execute the instructions use an optical heart rate monitoring (oHRM) algorithm that uses position and acceleration information obtained from the 3-axis accelerometer in combination with data acquired with the obtained PPG signal generate output data related to one or more of activity type, sleep quality, heart rate (HR), heart rate variability (HRV), stress level, or physical state. 
     
     
         8 . The smart heart tracker according to  claim 1 , wherein the processor is further configured to execute the instructions at least to:
 generate a dataset of input features and corresponding output labels from a database of previously stored position and acceleration information;   train one or more machine learning classifiers using a first portion of the generated dataset;   determine whether the one or more machine learning classifiers are generalized by testing the one or more machine learning classifiers on a second portion of the generated dataset;   in a case where the one or more machine learning classifiers are not generalized, validate the one or more machine learning classifiers using a third portion of the generated dataset until the one or more machine learning classifiers are generalized; and   in a case where the one or more machine learning classifiers are generalized, determine the one or more physical activities corresponding to the stored position and acceleration information using the generalized one or more machine learning classifiers.   
     
     
         9 . The smart heart tracker according to  claim 8 ,
 wherein the input features include signal strength, rhythmicity, and frequency stability, each of which is calculated from the database of previously stored position and acceleration information, and   wherein the output labels correspond to the one or more physical activities.   
     
     
         10 . A smart heart tracker system comprising:
 a smart heart tracker shaped and dimensioned to be worn as a piece of jewelry including:   a 3-axis accelerometer configured to measure and store position and acceleration information for the smart heart tracker;   an optical biosensor configured to measure heart rate;   a transceiver configured to connect the smart heart tracker to an external computing device for data communication.   a memory configured to store instructions; and   a processor communicatively connected to the 3-axis accelerometer and the memory, the processor configured to execute the instructions at least to:
 receive the stored position and acceleration information from the 3-axis accelerometer; 
 determine one or more physical activities corresponding to the stored position and acceleration information; and 
   store the determined one or more physical activities; and   the external computing device,
 wherein the external device is configured to be communicatively connected to the smart heart tracker, 
 wherein the external device obtains data from the smart heart tracker, and 
 wherein external device displays information related to the data to a user.